Mac mini (2024)
Geekbench AI Score
9950
Single Precision Score
11817
Half Precision Score
10953
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | January 14 2026 09:49 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac mini (2024) |
| Model ID | Mac16,10 |
| Motherboard | Mac16,10 |
| CPU Information | |
|---|---|
| Name | Apple M4 |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M4 |
| Base Frequency | 4.41 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4787
890.3 IPS |
|
|
Image Classification (HP)
|
100% |
5184
964.1 IPS |
|
|
Image Classification (Q)
|
96% |
4673
872.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
7558
122.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
8126
131.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
7861
127.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
28803
33.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
33128
38.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
32275
37.8 IPS |
|
|
Object Detection (SP)
|
100% |
4886
387.6 IPS |
|
|
Object Detection (HP)
|
100% |
5401
428.4 IPS |
|
|
Object Detection (Q)
|
92% |
5053
403.3 IPS |
|
|
Face Detection (SP)
|
100% |
12691
150.8 IPS |
|
|
Face Detection (HP)
|
100% |
17055
202.7 IPS |
|
|
Face Detection (Q)
|
100% |
13799
164.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
21081
162.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
23908
184.2 IPS |
|
|
Depth Estimation (Q)
|
86% |
21557
168.4 IPS |
|
|
Style Transfer (SP)
|
100% |
57760
74.3 IPS |
|
|
Style Transfer (HP)
|
100% |
72396
93.1 IPS |
|
|
Style Transfer (Q)
|
96% |
69695
89.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
12070
445.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
12453
459.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
10854
400.8 IPS |
|
|
Text Classification (SP)
|
100% |
3273
4.37 KIPS |
|
|
Text Classification (HP)
|
99% |
5909
7.89 KIPS |
|
|
Text Classification (Q)
|
93% |
5883
7.90 KIPS |
|
|
Machine Translation (SP)
|
100% |
3060
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3245
55.9 IPS |
|
|
Machine Translation (Q)
|
98% |
3134
54.2 IPS |
